Suifeng Zhao

FinRAGBench-V: A Benchmark for Multimodal RAG with Visual Citation in the Financial Domain

Retrieval-Augmented Generation (RAG) plays a vital role in the financial domain, powering applications such as real-time market analysis, trend forecasting, and interest rate computation. However, most existing RAG research in finance focuses predominantly on textual data, overlooking the rich visua